AI Token Factory Explosion: Tsinghua University Team Raises 10 Billion in Half a Year
Qijing Tech, a company founded by a Tsinghua University team of faculty and students, has rapidly become a significant player in China's AI infrastructure sector, focusing on high-quality AI token production. Over the past six months, the startup has secured over 1 billion RMB in funding.
The company specializes in AI inference—the efficient use of AI models—positioning itself as a "high-quality AI token factory." Unlike many competitors initially focused on model training, Qijing Tech believes inference is where real economic value is generated. Its core technology optimizes the entire AI token production chain through innovations like "full-system heterogeneous collaboration," aiming for stable, efficient, and low-cost output suitable for enterprise use.
This strategy has attracted significant investor interest. Major funding rounds have been led by institutions such as Henan Investment Group Huirong Fund, with continued backing from existing investors. The company's "less models, deeper optimization" approach, concentrating resources on key models and high-value scenarios, is resonating in a market where a few top models dominate token usage.
The results are promising. Since early 2026, Qijing Tech reports a threefold increase in token production efficiency per unit of computing power and a thirtyfold increase in total high-quality token output. Monthly revenue for June 2026 alone surpassed its entire 2025 revenue.
Operating on a "Token as a Service" (TaaS) model, Qijing Tech engages in both direct token sales and collaborative operations, helping partners like state-owned enterprises transition from traditional computing power leasing to high-value token production. As AI token usage in China surges, Qijing Tech aims to be a key enabler in the emerging AI token economy, building the essential infrastructure for the AI era.
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